The hard part of AI coding agents isn't getting them to generate code; it's getting them to generate the same kind of code your team would actually ship. Every time.
That gap closes when you stop tuning prompts and start engineering a harness: the rules, checks, agents, and procedures that keep the agent on the rails. The model alone won't get you there. The harness is what makes the agent dependable.
I built bridle to scaffold and maintain that harness in any codebase.
